An algebraic solution of maximum likelihood function in case of Gaussian mixture distribution

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An algebraic solution of maximum likelihood function in case of Gaussian mixture distribution

Traditionally, the least-squares method has been employed as a standard technique for parameter estimation and regression fitting of models to measured points in data sets in many engineering disciplines, geoscience fields as well as in geodesy. If the model errors follow the Gaussian distribution w...

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Bibliographic Details
Main Authors:	Awange, Joseph, Palancz, B., Lewis, R., Lovas, T., Heck, B., Fukuda, Y.
Format:	Journal Article
Published:	Taylor & Francis Co Ltd 2016
Online Access:	http://hdl.handle.net/20.500.11937/3248

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